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Dinh Thai Hoang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Dinh Thai Hoang
32
papers ·
249
citations ·
51
h-index
University of Technology Sydney
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
2018 · 17 citations
Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach
2020 · 15 citations
Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning
2023 · 11 citations
Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications
2020 · 2 citations
Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks
2021 · 2 citations
Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning
2018 · 1 citations
"Jam Me If You Can'': Defeating Jammer with Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications
2019 · 1 citations
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework
2023 · 1 citations
Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning
2024 · 1 citations
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications
2021
Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning
2021
Top co-authors
Diep N. Nguyen
· 7
Dusit Niyato
· 7
Nguyen Van Huynh
· 5
and Eryk Dutkiewicz
· 3
Dong In Kim
· 2
Eryk Dutkiewicz
· 2
Nguyen Cong Luong
· 2
Nguyen Quang Hieu
· 2
Shimin Gong
· 2
and Chau Yuen
· 1
and Dong In Kim
· 1
and Ping Wang
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient
Exploration
Multi-Agent
Safe RL
Meta-RL